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Tracing Effects of Covid-19 Over Small and Medium Enterprises

In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Virtual Conference, 10-12 September 2020

Author

Listed:
  • Bonazzi, Riccardo
  • Cimmino, Francesco Maria
  • Beuchat, Jean-Luc
  • Vérolet, Fanny

Abstract

In this paper, we describe an ongoing project to assess the liquidity risk of small and medium enterprises (SMEs) in a network. In doing so we try to mimic the tracing applications that have been done to Covid-19. We built a simple artefact under the shape of a method called LUC (Liquidity for Unstructured Collaborations) to (1) collect data that has been encrypted by using multiple keys, (2) store the data in a shared ledger and (3) extract the required information concerning the credit risk of each user while respecting the conditions for the zero-knowledge proof. We see this solution as well-adapted for firms performing unstructured collaboration and we see our service as complementary concerning a trusted company, in the same way, the Covid-19 tracing application collects weak signals and then send patients to doctors for official testing.

Suggested Citation

  • Bonazzi, Riccardo & Cimmino, Francesco Maria & Beuchat, Jean-Luc & Vérolet, Fanny, 2020. "Tracing Effects of Covid-19 Over Small and Medium Enterprises," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2020), Virtual Conference, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Virtual Conference, 10-12 September 2020, pages 309-321, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    • Handle: RePEc:zbw:entr20:224698
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    credit risk; accounting software; blockchain; design science;
    All these keywords.

    JEL classification:

    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General

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